KR20200029616A - Adaptive antenna for channel selection management in communication systems - Google Patents

Abstract

The present invention relates to a communication system in which an adaptive antenna system with an algorithm is used to provide improved channel selection management in wireless local area networks (WLANs) and other multi-node communication systems. Adaptive antenna systems can be integrated into multiple nodes of a communication network, such as access points used in WLAN, and are optimal for an access point for client communication links to aid channel selection across nodes in the network. It can be incorporated into multiple emission modes that are created and tracked to determine the mode. Adaptive antenna system modes are selected and the signal-to-noise ratio (SNR) in the available frequency channels is measured to determine which channel to allocate per access point along with the radiation modes to implement to improve the SNR of the communication links established in the network. .

Description

Adaptive antenna for channel selection management in communication systems

Priority claim

This application claims the benefit of priority to U.S. Patent Application No. 15 / 703,794 entitled "Adaptive Antenna for Channel Selection Management in Communication Systems" filed September 13, 2017, for all purposes. Incorporated by reference in the specification.

Field of invention

The present invention relates generally to the field of wireless communications. More specifically, it relates to an adaptive antenna system for improved channel selection management in wireless local area networks (WLANs) and other multi-node communication systems.

WLAN has been adopted by homes and businesses in most regions of the world, and there are many client devices such as smartphones, laptops and tablets capable of receiving WLAN. WLANs have recently been adopted for high-throughput applications, such as video streaming of in-building applications. These devices require excellent performance in RF radio and antenna systems to ensure quality operation, and these devices increase the number of WLAN antenna systems and RF signals occurring in enterprises, apartment buildings and neighborhoods. The requirement for increased data rates to support a larger number of users and video applications requires a higher modulation order in the transmitted signal, which is an improved level of signal to support higher modulation rates. SNR or signal-to-interference and noise-to-noise ratio (SINR) are collectively required as “metrics”. In particular, better control of the radiation field from the antenna system associated with the access point will be required to provide better communication link quality to antenna systems that are tasked with providing more throughput and more stable links.

Due to the limited range of electromagnetic (EM) signals propagating into buildings in WLAN frequency bands, it is becoming increasingly common to configure multiple access points in a network to provide continuous wireless service. WLAN internal roaming includes situations where a wireless device moves a connection from one access point to another within a Wi-Fi network because the signal strength from the original access point becomes too weak. The wireless device can include an algorithm that periodically monitors the presence of alternative access points, which can provide a better connection and can be associated with an access point with a stronger signal. However, due to the complex nature of radio waves, it is difficult to predict the Wi-Fi signal strength for a specific area in relation to the transmitter. In many cases, the line of sight between the transmitter and receiver involved in the communication is blocked or shaded by obstacles such as walls, trees and other objects. Each signal bounce can cause phase shifts, time delays, attenuations and distortions, each of which ultimately interferes at the receiving antenna. Destructive interference of the radio link becomes a problem and degrades device performance. Signal quality metrics are often used to evaluate the quality of signals. Examples of the quality metrics introduced above include signal-to-noise ratio (SNR), signal to interference and noise ratio (SINR), receive signal strength indicator (RSSI), bit error rate (BER), and channel quality indicator (CQI) ).

Increasing the number of access points in a Wi-Fi network generally provides network redundancy and defines smaller cells to support fast roaming. However, if there are too many devices connected to one access point in the same area, the Wi-Fi connections may be interrupted or Internet speed may be reduced due to interference. When multiple access points are used in a system to provide WLAN coverage for a building, the standard technique is to assign different channels (frequency) to adjacent access points to reduce interference between access points. With a finite frequency bandwidth available in the 2.4 GHz and 5 GHz WLAN bands and a set number of available channels, the frequency separation that can be achieved between adjacent access points is typically a channel of frequency components emitted by one access point. The outer roll-off is not large enough to remove what interferes with the neighboring access point. This interference is usually indicated by a reduction in SINR at the receiving port of a neighboring access point, which reduces the modulation schemes that can be supported and reduces data throughput. In wireless devices, typically composed of one or more antennas, these antennas are passive antennas with a fixed radiation pattern (i.e., one radiation pattern), and a tool to improve the SINR of the access point to the antenna system if interference signals are present. Cannot be used as This situation leads to suboptimal traffic in which quality of service (QOS) is provided to unoptimized users.

Co-owned patent US 7,911,402; US 8,362,962; US 8,648,755; And US 9,240,634, the entire contents of each of which are incorporated herein by reference, each describing a beam steering technique in which a single antenna can generate multiple radiation modes, and a single antenna separates radiation in each of a plurality of possible modes. It shows a pattern. This is done using an offset parasitic element that changes the current distribution of the drive antenna as the parasitic reactive load changes. This beam steering technique in which multiple modes are generated is referred to as “modal antenna technique”, and an antenna configured to change the radiation mode in this way will be referred to herein as “modal antenna”. This antenna architecture solves the problems associated with the lack of volume of mobile devices and small commercial communication devices to accommodate the antenna array needed to implement more traditional beam steering hardware.

This modal antenna technology can be implemented in access points and client devices of WLAN systems and is used to improve the communication link performance of such networks. When multi-user operation is required, the ability to optimize the radiation pattern of the antennas at the access point at the link's access point is important to optimize link performance. Compared to the passive antenna used with the access point, the modal antenna provides improved antenna gain performance in the direction of the client devices by sampling the modal antenna's multiple radiation modes and selecting a mode that provides improved system gain per client. can do. The increased antenna system gain from the modal antenna will translate into an increase in the signal-to-noise ratio (SNR), which will translate into a higher order modulation scheme that can be supported for more data throughput.

1 shows four radiation pattern modes of a single modal antenna.
FIG. 2 includes a network controller, two access points including a first access point marked "API" and a second access point marked "AP2", and four client devices wirelessly connected to the two access points It shows a communication system.
3 shows the channel utilization for the three access points marked "API", "AP2" and "AP3".
4 shows channel utilization for three access points marked "API", "AP2" and "AP3".
5 shows a noise matrix for each access point in a communication system, wherein the access point and one or more client devices include adaptive antenna systems.
6 shows a flow diagram of a process for optimizing channel selection per access point or node in a communication system, with selection of an optimal active steering mode for adaptive antennas.
FIG. 7 shows channel utilization for four access points marked "API", "AP2", "AP3" and "AP4".
8 shows a network communication system for servicing wireless communication links between each of a plurality of client devices and a network, respectively.

The present invention relates to an adaptive antenna system that provides multiple radiation modes that can be sampled and selected to improve communication link performance in WLAN and other communication systems. This adaptive antenna system provides additional parametric, which optimizes the noise levels of receivers within the access points and other transceivers implemented in communication systems and communicates in multipath and dynamic environments. It can be used to provide a higher SINR that improves data throughput and stability in maintaining links.

In one embodiment, an adaptive antenna capable of generating multiple radiation modes is combined with an algorithm that implements a sampling process to select the optimal radiation mode for the intended communication link. This technique is well suited for implementation in WLAN systems where multiple access points need to perform work and resolve interference between access points to provide coverage in a particular area. With the ability to change the radiation modes of the antenna system used with access points, this technique can be used to improve SINR levels at the system's access points by selecting modes that reduce signal strength levels in the direction of adjacent nodes. . This ability to change the radiation modes of the antenna system also affects how adjacent channels interfere with each other. Thus, using this technique on (i) devices only, (ii) access point (s) only, or (iii) both devices and access point (s), provides additional degrees of freedom in the channel allocation process, thereby Network performance is maximized.

In one embodiment, a communication system in which each node consists of two nodes (access points) comprising a transceiver and an antenna system is used to provide wireless communication in a defined area. An example of this type of system is a WLAN system consisting of two access points (nodes) to provide wireless coverage in a building. The first access point operates on channel A, while the second access point operates on channel B and channel A and channel B occupy different parts of the frequency spectrum. The first access point of the system includes an adaptive antenna system with this adaptive antenna system defined as an antenna capable of generating multiple radiation modes (beam steering or null steering possible), while the second access point includes And a passive antenna system with a fixed radiation pattern. Each radiation mode of the adaptive antenna system has a radiation pattern associated with it, and these radiation patterns vary between modes in terms of radiation pattern shape and / or polarization characteristics. The candidate antenna for the adaptive antenna is a modal antenna, and the modal antenna can generate multiple radiation patterns from a single port antenna. A network controller is implemented to command the network of access points and control the network. The algorithm resides on the computer of the network controller, which adapts at the first access point, for example by switching on / off the reactance of active components such as switches, tunable capacitors, tunable inductors, etc. or adjusting reactance. The aim is to control the radiation modes of the type antenna system. The quality of the communication link between the two access points and each client in the system is measured and stored in memory. An algorithm implemented with an adaptive antenna samples channel quality indicator (CQI) metrics or radiation patterns such as Signal to Interference and Noise Ratio (SINR), Receive Signal Strength Indicator (RSSI), Modulation Coding Scheme (MCS), and the CQI. Provides the ability to look at similar metrics obtained from the baseband processor of the communication system to provide the ability to make decisions regarding the operation for an optimal radiation pattern or mode based on. Optimization may be performed to improve the SINR of the second access point by selecting radiation modes for the adaptive antenna system associated with the first access point when the first access point communicates with clients in the system. Although the two access points operate on different channels, there is a finite roll-off in the frequency response where some residual out-of-band frequency components from the first access point are coupled with the receiving port of the second access point. For example, optimization may be performed at the first access point by selecting a different channel for different antenna modes of all devices connected to the access point and monitoring signal quality metrics such as SINR.

The improvement in SINR occurs when the modes of the adaptive antenna are selected to serve the intended client while combining less power to the receiving port of the second access point. As a result, the throughput, range and capacity of communication links established between the system's second access point and clients is improved.

In another embodiment, the communication system as described above is implemented when adaptive antenna systems are integrated into both the first access point and the second access point. The computer-resident algorithm in the network controller performs the task of controlling the radiation modes of the adaptive antenna systems at the first access point and the second access point. The first access point operates on channel A, the second access point operates on channel B, and channels A and B occupy different parts of the frequency spectrum. Improving SINR of the first access point and the second access point by selecting radiation modes for adaptive antenna systems associated with each of the first access point and the second access point when the access points communicate with clients of the system Risk optimization can be performed.

In another embodiment, multiple access points are fielded in a communication system, such multiple access points comprising adaptive antenna systems. An algorithm residing in the network controller controls all adaptive antenna systems in the network, the goal of which is to select radiation modes that combine from one access point to an adjacent access point when communication links are established between the access points and clients. This increases SINR at the receiving ports of all access points in the system.

In another embodiment, the plurality of clients as well as the plurality of access points are each configured with an adaptive antenna system to provide multiple radiation modes across communication links established in the network. An algorithm residing in the network controller controls all adaptive antenna systems in the network, the goal of which is to select radiation modes that combine from one access point to an adjacent access point when communication links are established between the access points and clients. This increases SINR at the receiving ports of all access points in the system. Adaptive antenna systems of client devices provide additional parameters to adjust during the optimization process.

In another embodiment, a plurality of access points are fielded in a communication system, a plurality of these access points comprise adaptive antenna systems, and at least two access points operate adjacent to each other in the same channel. The algorithm residing in the network controller works in the same way as previously described, and the end result is by selecting radiation modes that combine from one access point to an adjacent access point when communication links are established between the access points and clients. It is to improve SINR at the receiving ports of all access points in the system.

The algorithm described in the previously mentioned embodiments is configured to examine the radiation modes of all adaptive antenna systems in the network. The quality of the communication link between all adaptive antenna capable access points and each client in the system is measured and stored in memory. An algorithm implemented with an adaptive antenna samples channel quality indicator (CQI) metrics or radiation patterns such as Signal to Interference and Noise Ratio (SINR), Receive Signal Strength Indicator (RSSI), Modulation Coding Scheme (MCS), and the CQI. Provides the ability to look at similar metrics obtained from the baseband processor of the communication system to provide the ability to make decisions regarding the operation for an optimal radiation pattern or mode based on. Optimization can be performed to improve the SINR of communication links established between access points and clients in a network by selecting radiation modes for adaptive antenna systems associated with clients and access points in the system. This algorithm adds a noise matrix for each access point in the network to which the adaptive antenna system is connected. Average noise measurements are performed for each communication link between the access point and clients in the network and these noise values are stored in a noise matrix. The noise matrix associated with each access point in the network is examined by an algorithm, and the radiation mode states for the adaptive antenna system for the access points or for the access point / client pairs are selected such that the receiver in the access points and clients The noise levels in the field are each minimized. The noise matrix is constantly updated to account for changes in the propagation channel and channel changes at the access points.

Turning now to the figure, FIG. 1 shows four radiation pattern modes of a single modal antenna. A modal antenna can generate multiple radiation patterns (denoted by four, but more). The four radiation modes shown provide peak gain coverage in four separate directions (D1; D2; D3 and D4).

FIG. 2 includes a network controller, two access points including a first access point marked "API" and a second access point marked "AP2", and four client devices wirelessly connected to the two access points It shows a communication system. Each access point is aware of all devices. However, configuring the "mode" of the adaptive antenna systems of each access point optimizes system throughput, allowing the mode to identify unintended links (e.g., null in the radiation pattern of a particular selected mode). The link indicates the direction of the undesirable client device), and also, the mode prioritizes link communication with the intended client devices (e.g., the maximum gain value of the radiation pattern is the client device requiring the link Steered towards). Here, the first access point (API) is configured in a first mode, and the first mode is a mode for setting gain in the direction of the intended clients (device 1 and device 3), while unintended client devices ( Links with devices 2 and 4) are excluded at the same time. However, the second access point AP2 is configured in a second mode to establish a link with intended clients (device 2 and device 4), while at the same time the second mode is intended for unintended clients (device 1 and It distinguishes the link with the device 3). In this regard, all devices (devices 1 to 4) are services on the network, but throughput is evenly distributed between the access points and devices on the network, and the adaptive antennas of the first access point and the second access point This is achieved by the control provided by the network controller to configure the systems.

3 shows the channel utilization for the three access points marked "API", "AP2" and "AP3". The frequency response for each access point is indicated along with SINR. As can be seen in the figure, the effective noise floor of each access point is limited or set by frequency components generated by other access points in the communication system. In the antenna systems used with these three access points, traditional passive antennas are included and each passive antenna has a single radiation mode or radiation pattern (as opposed to multiple reconfigurable antenna modes of the modal antenna).

4 shows the channel utilization for the three access points marked "API", "AP2" and "AP3". The three access points are adaptive antenna systems, which can generate multiple radiation modes, and the antenna system produces a separate radiation pattern when configured in each of the plurality of modes. The frequency response for each access point is shown along with the SINR of the three adaptive steering modes generated by the adaptive antenna system of each access point. In active steering modes that provide a different radiation pattern and / or polarization state than the adaptive antenna system, the SINR will change from one mode to the next. The mode providing the highest SINR can be selected and used for communication between the access point and the client device to improve communication performance. In addition, adaptive steering modes can be investigated for multiple channels for each access point, and channel selection for access points can be performed with adaptive steering mode selection. The result is improved SINR performance at each access point due to improved frequency response roll off when optimal channel selection and adaptive steering mode selection are performed.

5 shows a noise matrix for each access point in the communication system, the access point and one or more client devices comprising adaptive antenna systems. The average noise level at the receiver of the access point and the receivers of the client devices can be determined as the active steering modes of the adaptive antenna systems are sampled. This noise matrix provides an adaptive steering mode to use for each client and database to investigate when selecting the optimal channels for access points in the system.

6 shows a flow diagram of a process for optimizing channel selection per access point or node in a communication system, with selection of optimal active steering modes for adaptive antennas.

Figure 7 shows the channel utilization for the four access points marked "API", "AP2", "AP3" and "AP4". The frequency response for each access point is displayed while “AP1” and “AP4” operate on the same channel. The optimal active steering mode for the frequency response of each access point is displayed.

8 shows a network communication system for servicing wireless communication links between each of a plurality of client devices 31; 32; 33; 34 and a network, respectively. A network communication system for servicing wireless communication links between each of a plurality of client devices and a network may include a first access point 10, a second access point 20, and a network controller 40, respectively. . The first access point can include an adaptive antenna system 100 associated therewith, the adaptive antenna system is configurable in one of a plurality of possible modes, and the adaptive antenna system is each of the plurality of possible modes When configured in a separate radiation pattern (101a to 101d). The network controller 40 may be configured to execute an algorithm 50 for determining an optimal mode of the adaptive antenna system 100 for a specific time period, the algorithm comprising: (i) with the first access point, the Examining each of the plurality of client devices available for communication with the network, (ii) configuring the adaptive antenna system of the first access point in each of the plurality of possible modes, and for each mode, a first Measuring a channel quality indicator (CQI) associated with each of the adaptive antenna system and a plurality of client devices of the access point, (iii) measuring the antenna mode data corresponding to each mode, device and CQI of the measured adaptive antenna system Storing on a network, (iv) selecting an optimal mode among a plurality of possible modes based on antenna mode data, And (v) configuring the adaptive antenna system of the first access point in the optimal mode.

The second access point 20 is shown to include a second passive antenna 200 having a fixed radiation pattern 201a. However, as discussed above, the second antenna may alternatively include an adaptive antenna system.

The adaptive antenna system can be characterized by a radiating element, one or more parasitic elements positioned adjacent to the radiating element, and one or more active tuning components, each of the one or more active tuning components being coupled to one of the one or more parasitic elements And, is configured to adjust the current mode of each parasitic element.

Active tuning components can be individually selected from the group consisting of switches, tunable capacitors, tunable inductors, MEMs devices, tunable phase shifters and diodes.

The second access point can include a second adaptive antenna system configurable in one of a plurality of possible second modes associated therewith, when the second adaptive antenna system is configured in each of the plurality of possible second modes It shows a distinct radiation pattern.

The network communication system may include three or more access points.

The optimal mode may be one of a plurality of possible modes to achieve the maximum throughput of the network. The optimal mode may be one of a plurality of possible modes to achieve priority throughput according to network preference for individual device throughput.

Maximum throughput can be achieved when balancing the device load between each access point in the network. Maximum throughput is achieved when balancing the device load between each channel of each access point in the network.

The antenna mode data further includes frequency or channel information.

As described above, the CQI may be selected from a group consisting of Signal to Interference and Noise Ratio (SINR), Receive Signal Strength Indicator (RSSI), Modulation Coding Scheme (MCS), or other similar metrics.

In some embodiments, the communication system comprises: a first radio frequency transceiver operating at frequency Fl; A first antenna system connected to the first transceiver; A second radio frequency transceiver operating at frequency F2; A second antenna system connected to the second transceiver; A network controller for command and control of the first and second transceivers; A first antenna system comprising a plurality of client devices, each transmitter device comprising a transmitter, receiver, or transceiver capable of operating at frequencies Fl or F2 or both F1 and F2, the first antenna system coupled to the first transceiver being an adaptive antenna System, this adaptive antenna system can generate more than one radiation mode, each radiation mode has a different radiation pattern and / or polarization compared to the other modes, and the algorithm resides in a network controller, the algorithm Controls the change in the radiation modes of the adaptive antenna system, as well as the channels used by each of the access points in the network, and the first transceiver uses the radiation modes of the adaptive antenna system to communicate with one or more client devices. Investigate communication link metrics as it establishes And, when the second transceiver establishes a communication link with one or more client devices, examines the communication link metrics, and when the second transceiver establishes a communication link with the second client device at the same time interval, The first transceiver is configured to select a radiation mode for the adaptive antenna system connected to the first transceiver when establishing a communication link with the first client providing the minimum noise level at the receiver of the second transceiver.

According to an embodiment of the communication system, a plurality of frequencies are available for transmission and reception, and an algorithm residing in the network controller changes the radiation modes of the adaptive antenna system as well as the channel used by each of the network's access points. The communication link metric as the first transceiver establishes a communication link with one or more client devices using the radiation modes of the adaptive antenna system, and the second transceiver establishes a communication link with the one or more client devices. Examining the communication link metrics as establishing the communication link of, and when the second transceiver establishes the communication link with the second client device at the same time interval, the first transceiver sets the minimum noise level at the receiver of the second transceiver. To provide a communication link with the first client If established, it is configured to select the radiation mode for the adaptive antenna system connected to the first transceiver, and the investigation of the communication link metric for various modes is performed at two or more frequencies, for the first transceiver and the second transceiver. The optimal frequency selected operates at the minimum noise level in the receivers of the first and second transceivers.

In another embodiment, the second antenna system coupled to the second transceiver is an adaptive antenna system, which can generate two or more radiation modes, each radiation mode being different compared to other modes. The algorithm, which has a radiation pattern and / or polarization, and resides in a network controller, controls changes in radiation modes of the first and second adaptive antenna systems, as well as the channels used by each of the network's access points, and the first The communication link metric is examined as the transceiver establishes a communication link with one or more client devices using the radiation modes of the adaptive antenna system, and the second transceiver uses one or more of the radiation modes of the adaptive antenna system. Communication link as it establishes a communication link with its client device Investigate the metric, and when the second transceiver establishes a communication link with the second client, the first transceiver establishes a communication link with the first client providing the minimum noise level at the receiver of the second transceiver Select the radiation mode for the adaptive antenna system connected to, and when the first transceiver establishes a communication link with the first client device at the same time interval, the second transceiver provides the minimum noise level at the receiver of the first transceiver Configured to select a radiation mode for the adaptive antenna system connected to the second transceiver when establishing a communication link with a second client, wherein the investigation of the communication link metric for various modes is performed at two or more frequencies, The optimal frequency selected for the first transceiver and the second transceiver is the first transceiver and It operates at the minimum noise level in the receiver of the second transceiver.

In various embodiments, the communication link metric samples Channel Quality Indicator (CQI) metrics or radiation patterns, such as Signal to Interference and Noise Ratio (SINR), Receive Signal Strength Indicator (RSSI), and Modulation Coding Scheme (MCS). It provides the ability to examine similar metrics obtained from the baseband processor of the communication system to provide the ability to make decisions regarding the operation for the optimal radiation pattern or mode based on the CQI.

The algorithm can reside on a processor co-located with the first or second transceiver. The algorithm can reside on a processor co-located with the first or second adaptive antenna system.

Certain embodiments may include a plurality of transceivers with adaptive antenna systems in which one or more transceivers are coupled to them, and an algorithm residing in the network controller controls the selection of radiation modes of all adaptive antenna systems in the communication system. And examines communication link metrics for all transceivers with adaptive antenna systems as the transceivers establish communication links with client devices using the radiation modes of the adaptive antenna systems, and at least in the transceivers of the communication system. It is configured to select the transceiver / client pairing to establish communication links simultaneously with other transceivers in the communication system so that the noise level is optimized.

Certain embodiments also include an algorithm residing in the network controller to control the selection of the radiation modes of all adaptive antenna systems in the communication system, and transceivers to communicate with client devices using the radiation modes of the adaptive antenna systems. Transceiver to examine communication link metrics for all transceivers with adaptive antenna systems as they set up, and to establish communication links simultaneously with other transceivers in the communication system so that the minimum noise level is optimized in the transceivers of the communication system. / Selecting frequency channels for the transceivers for client pairings.

Certain embodiments may also include that the first and second radio frequency transceivers operate at frequency F1. Certain embodiments may also include two or more transceivers with adaptive antenna systems operating at frequency F1.

The invention includes many details, but these should not be construed as a limitation of the scope of the invention or what can be claimed, but rather as a description of features specific to certain embodiments of the invention. Certain features that are described in this document in the context of separate embodiments may also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment may also be implemented in multiple embodiments individually or in any suitable subcombination. Moreover, even though features may be described as acting in particular combinations, and even so may initially be claimed, one or more features of the claimed combination may be exercised in the combination in some cases, and the claimed combination may be subordinated. It may relate to variations of combinations or subcombinations.

Claims (11)

A network communication system for servicing wireless communication links between each of a plurality of client devices and a network, the network communication system comprising:
The network communication system is:
A first access point;
A second access point; And
Including a network controller,
The first access point includes an adaptive antenna system associated with the first access point, the adaptive antenna system is configurable in one of a plurality of possible modes, and the adaptive antenna system Represents a distinct radiation pattern when configured in each of the plurality of possible modes; And
The network controller executes an algorithm for determining an optimal mode of the adaptive antenna system for a specific time period,
The algorithm is:
Examining each of the plurality of client devices available for communication with the network with the first access point;
Configure the adaptive antenna system of the first access point in each of the plurality of possible modes, and for each mode, a CQI associated with each of the adaptive antenna system of the first access point and the plurality of client devices measuring (channel quality indicator);
Storing the measured antenna mode data corresponding to each mode, device and CQI of the adaptive antenna system on the network;
Selecting an optimal mode among the plurality of possible modes based on the antenna mode data; And
And configuring the adaptive antenna system of the first access point in the optimal mode.
Network communication system. According to claim 1,
The adaptive antenna system features a radiating element, one or more parasitic elements positioned adjacent to the radiating element, and one or more active tuning components, each of the one or more active tuning components being one of the one or more parasitic elements. Coupled, and configured to adjust the current mode of each of the parasitic elements.
Network communication system. According to claim 2,
The active tuning components are individually selected from the group consisting of switches, tunable capacitors, tunable inductors, MEMs devices, tunable phase shifters and diodes.
Network communication system. According to claim 1,
The second access point includes a second adaptive antenna system configurable in one of a plurality of possible second modes associated with the second access point, and the second adaptive antenna system comprises the plurality of possible second modes. Characterized by representing a distinct radiation pattern when constructed in each
Network communication system. According to claim 4,
Characterized in that it comprises three or more access points
Network communication system. According to claim 1,
The optimal mode is characterized in that it is one of a plurality of possible modes to achieve the maximum throughput of the network
Network communication system. The method of claim 6,
The maximum throughput is achieved when balancing a device load between each access point on the network.
Network communication system. The method of claim 6,
The maximum throughput is achieved when balancing the device load between each channel of each access point on the network.
Network communication system. According to claim 1,
The antenna mode data further comprises frequency or channel information.
Network communication system. According to claim 1,
The optimum mode is one of a plurality of possible modes for achieving priority throughput according to network preference for individual device throughput.
Network communication system. According to claim 1,
The CQI is selected from the group consisting of a Signal to Interference and Noise Ratio (SINR), a Receive Signal Strength Indicator (RSSI), and a Modulation Coding Scheme (MCS).
Network communication system.

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